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Developer-ready Ubuntu on Qualcomm IoT platforms | Ubuntu Summit 25.10

Dec 8, 2025 By Canonical Ubuntu In Canonical
Qualcomm and Canonical have partnered to provide organizations and developers with a reliable, security-focused, high performance, certified operating system platform. The GA release of Ubuntu on Qualcomm Dragonwing platforms for both Desktop and Server is now available, offering the ability to create, test, and customize your use cases on-device.
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canonical

How telco companies can reduce 5G infrastructure costs with modern open source cloud-native technologies

Dec 8, 2025 By Benjamin Ryzman In Canonical
5G continues to transform the telecommunications landscape, enabling massive device density, edge computing, and new enterprise use cases. However, operators still face significant cost pressures: from accelerating RAN modernization and 5G SA rollouts to energy demands and the shift to cloud-native network functions (CNFs). As telcos redesign their infrastructure strategies, open source has become a key lever to reduce costs, increase flexibility, and accelerate innovation.
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Data Visualization Trends 2025: Why AI-Generated Charts Are Gaining Traction in DevOps

Data Visualization Trends 2025: Why AI-Generated Charts Are Gaining Traction in DevOps

Dec 8, 2025 By OpsMatters In OpsMatters
Data visualization in DevOps has undergone a dramatic shift over the past few years, evolving from static dashboards into dynamic, context-aware systems that update as quickly as pipelines themselves. As teams manage more logs, metrics, dependencies, and distributed environments than ever before, the demand for faster insight continues to grow. That's one reason many engineering groups have started turning to tools like an AI graph generator to automate routine visualizations and surface patterns that humans often miss when juggling multiple services.
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Cloud 66

Blue/Green Deployment: The Two House Trick for Stress-Free Releases

Dec 6, 2025 By Kelley Schultz In Cloud 66
You know that feeling right before you deploy? The mix of excitement, dread, and the quiet hope that production behaves this time? Yeah — we’ve all been there. That’s why we are big fans of blue-green deployment. It’s one of those DevOps patterns that sounds fancy but is actually just good engineering hygiene — and it can save your morning/afternoon/evening or let’s be honest, your late night.
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speedscale

Shopify Outage 2025: Rise of the Commerce Kaiju

Dec 5, 2025 By Alan Mon In Speedscale
It was a normal day in the land of eCommerce. Birds were singing, dashboards were loading, and merchants everywhere felt cautiously optimistic. Then the ground trembled. A tiny glitch. A flicker. A warning log no one read. And suddenly— BOOM! Shopify burst out of the digital ocean like a gigantic scaly beast that woke up on the wrong side of the server rack. Checkouts froze mid-purchase. Product pages stopped producting. Merchants stared blankly at blank screens. The Commerce Kaiju had arrived.
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last9

Which Observability Tool Helps with Visibility Without Overspend

Dec 5, 2025 By Anjali Udasi In Last9
If you’re trying to control observability spend without cutting visibility, the platforms that usually offer the best cost balance at enterprise scale are Last9, Grafana Cloud, Elastic, and Chronosphere — depending on the shape of your telemetry and the level of operational ownership you want.
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cloudzero

Your Guide To Inference Cost (And Turning It Into Margin Advantage)

Dec 5, 2025 By Keith MacKenzie In CloudZero
AI adoption is exploding, but margins aren’t. In fact, an MIT analysis reports that 95% of organizations have yet to see measurable ROI from GenAI. This gap becomes obvious as soon as teams push a model into production and usage begins to scale. For most workloads, the pressure comes after training. Every message, call, query, completion, or retrieval triggers compute behind the scenes. That real-time execution is what AI inference is all about.
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cloudzero

AWS Batch On EKS: Streamlining Containerized Workloads

Dec 5, 2025 By Lyne Carolyne In CloudZero
Machine learning pipelines are getting heavier by the day. From model training to large-scale inference and data preprocessing, compute demands are scaling faster than teams can manage. Kubernetes clusters groan under unpredictable job spikes. Static infrastructure wastes money when workloads slow down. The result? Organizations are perpetually chasing flexibility, automation, and cost efficiency. AWS has quietly built a solution to establish that balance.
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